% Encoding: UTF-8
@COMMENT{BibTeX export based on data in FAU CRIS: https://cris.fau.de/}
@COMMENT{For any questions please write to cris-support@fau.de}
@incollection{faucris.122701304,
abstract = {Cardiac MRI is the modality of choice in cardiology for the assessment of the ventricular function, since the heart’s anatomy is visualized with high resolution. This functional assessment is a timeconsuming task for the cardiac radiologist when performed manually. Therefore, computer-driven diagnostic solutions are of particular importance for clinical applications. In order to ensure the success of such computer aided diagnosis algorithms however, a correct, initial localization of the heart region in the raw data is crucial. For this purpose, we present a novel, simple and fully automated approach for localizing the heart region in cardiac cine MR data. Without the need for prior knowledge or training datasets, this method enables a ready to use application for a robust localization. This processing step is a fundamental component for the development of integrated automated applications.},
author = {Hoffmann, Roxana and Kranz, Franziska and Siegl, Christian and Janka, Rolf Matthias and Grosso, Roberto and Greiner, Günther},
booktitle = {Bildverarbeitung für die Medizin 2016},
doi = {10.1007/978-3-662-49465-3_22},
faupublication = {yes},
pages = {116--121},
peerreviewed = {Yes},
publisher = {Springer},
title = {{Automated} {Heart} {Localization} in {Cardiac} {Cine} {MR} {Data}},
year = {2016}
}